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For Official Use COM/TAD/CA/ENV/EPOC(2015)42 Organisation de Coopération et de Développement Économiques Organisation for Economic Co-operation and Development 21-Oct-2015
___________________________________________________________________________________________
_____________ English - Or. English TRADE AND AGRICULTURE DIRECTORATE
ENVIRONMENT DIRECTORATE
Joint Working Party on Agriculture and the Environment
SYNERGIES AND TRADE-OFFS BETWEEN AGRICULTURAL PRODUCTIVITY, CLIMATE
CHANGE ADAPTATION AND MITIGATION: A POLICY ASSESSMENT FRAMEWORK
9-10 November 2015
This document is submitted for DISCUSSION at the 40th session of the Joint Working Party on Agriculture and
the Environment. This work is mandated under the Programme of Work and Budget 2015-16, intermediate output
3.2.3.2.1 (3.2.3.2 Agriculture and Climate Change). Item 7a) of the Draft Agenda.
Ada IGNACIUK ([email protected])
JT03384605
Complete document available on OLIS in its original format
This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of
international frontiers and boundaries and to the name of any territory, city or area.
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COM/TAD/CA/ENV/EPOC(2015)42
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TABLE OF CONTENTS
NOTE FROM THE SECRETARIAT ............................................................................................................. 4
EXECUTIVE SUMMARY ............................................................................................................................. 5
1 A comprehensive assessment of existing policies: a first step towards increased synergies between
the three objectives ...................................................................................................................................... 6 2 Promoting synergies between the three objectives is important given the multiple challenges that
agricultural systems currently face .............................................................................................................. 7 3 A limited literature exists on policy effects of and trade-offs with regard to the three objectives ....... 8 4 Proposed policy assessment framework to illuminate trade-offs and synergies between the three
objectives ................................................................................................................................................... 10 4.1 The general set-up of the framework ......................................................................................... 10 4.2 Part I. Policy goals: how the three objectives are captured within the country’s policies ......... 13 4.3 Part II. Institutions: assessing institutional setting coherence between the three objectives ..... 15 4.4 Part III. Policies: identifying whether policies generate synergies or trade-offs between the
three objectives ....................................................................................................................................... 16 4.5 Part IV. Assessing how on the ground initiatives can inform policy design and
implementation ....................................................................................................................................... 28
REFERENCES .............................................................................................................................................. 30
APPENDIX 1 IMPACTS OF A SELECTION OF LAND MANAGEMENT PRACTICES ON
PRODUCTIVITY, CLIMATE CHANGE MITIGATION AND ADAPTATION ....................................... 35
APPENDIX 2 SUGGESTED INDICATORS .............................................................................................. 39
Tables
Table 1. Key differences between mitigation and adaptation issues ................................................... 10 Table 2. Examples of policies with potential effects on the three pillars and their objectives ............ 17 Table 3. Examples of land management practices, and their impacts on productivity, climate change
adaptation, and greenhouse gas mitigation (Adapted from: Bryan et al., 2011) ........................................ 36
Figures
Figure 1. Effects of climate change on crop yields are likely to be negative in most regions ................ 8 Figure 2. Framework to assess policy effects with regard to the three objectives ................................ 11 Figure 3. Schematic of the interaction among the physical climate system, exposure and vulnerability
producing risk ............................................................................................................................................ 12 Figure 4. Short and long term potential intended and unintended effects of energy subsidies for irrigation24 Figure 5. Potential intended and unintended effects of crop insurance ................................................ 26 Figure 6. Potential intended and unintended effects of input subsidies ................................................ 28
COM/TAD/CA/ENV/EPOC(2015)42
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Boxes
Box 1. Identifying key trends ..................................................................................................................... 13 Box 2. Assessing integration of objectives within national goals .............................................................. 15 Box 3. Identification and assessment of institutional coherence ............................................................... 16 Box 4. International and regional policies - Assessing policy effects ....................................................... 18 Box 5. National and local policies - assessing policy effects .................................................................... 18 Box 6. Sectoral policies beyond agriculture - assessing policy effects ...................................................... 19 Box 7. Agricultural policies - assessing policy effects .............................................................................. 20 Box 8. Agricultural R&D - Assessing policy effects ................................................................................. 21 Box 9. Extension & Advisory Services - assessing policy effects ............................................................. 21 Box 10. Identifying and assessing on the ground initiatives ...................................................................... 29
COM/TAD/CA/ENV/EPOC(2015)42
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NOTE FROM THE SECRETARIAT
This work is mandated under the Programme of Work and Budget 2015-16, intermediate output
3.2.3.2.1 (3.2.3.2 Agriculture and Climate Change).
The preliminary framework presented at the 39th session of JWPAE
[COM/TAD/CA/ENV/EPOC(2015)8] has been revised taking into account comments from the Delegates
and additional findings.
The proposed framework is in the process of being tested with two country case studies (France and
the Netherlands). The results of this pilot testing are expected to help adjust the method. They will be
combined, at a later stage, with empirical results from the analytical model that the Secretariat is
developing.
This document is presented for DISCUSSION under Item 7 of the Draft Agenda of the 40th session of
the Joint Working Party on Agriculture and Environment.
COM/TAD/CA/ENV/EPOC(2015)42
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EXECUTIVE SUMMARY
1. In the coming decades, agriculture policies need to address the sector’s increasing challenges, in
particular climate change and increasing food demand. Climate change is expected to increase pressure on
the global agricultural system via increases in temperatures, more variable rainfall, more frequent and
intense extreme weather events. This challenge is juxtaposed with a rising demand for agricultural
commodities. Furthermore, agricultural production is affected by competition with other sectors of the
economy for vital resources, such as land and water. Therefore, governments need to address long-term
issues while designing policy strategies to increase agricultural productivity in a sustainable and climate
resilient manner.
2. Governments are increasingly aware of the need to implement policies that aim to
simultaneously achieve sustainable productivity improvement, enhance adaptation to climate change and
contribute to greenhouse gas (GHG) mitigation (hereafter referred to as the three objectives). Policy
makers’ interests in initiatives such as Green Growth, Climate Smart Agriculture, Sustainable
Intensification and Bio-economy reflect the importance of achieving synergies between these objectives.
3. But, there is still a disconnection between how political agendas highlight sustainability issues,
and climate change in particular, and the goals that existing policies are designed to achieve. In order to
support encompassing policies that are coherent with the three objectives governments need to identify
whether there are bottlenecks in terms of existing policies that stimulate unsustainable and GHG-prone
practices in agriculture.
4. However, systematic assessments to understand whether current policies are well-aligned with
the three objectives have been scarce. The agricultural sector (including forestry) is subject to a wide range
of national and international regulations, macroeconomic and structural policies, as well as to policies
specific to the agricultural sector itself. These policies have intended and unintended effects on the three
objectives that are rarely assessed and sometimes inconsistent.
5. This document presents a qualitative framework for systematically identifying and assessing the
intended and unintended effects of existing policies on the three objectives: agricultural productivity,
climate change adaptation and mitigation. As a tool for policy makers, this framework aims to help them
to:
Evaluate the integration of the three objectives within the policy making process,
Assess the coherence of the institutional setting regarding the three objectives,
Identify and assess the synergies and trade-offs that policies generate between the three
objectives of agricultural productivity, adaptation and mitigation,
Identify initiatives on the ground and assess how they could inform policy design and
implementation.
COM/TAD/CA/ENV/EPOC(2015)42
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1 A comprehensive assessment of existing policies: a first step towards increased synergies
between the three objectives
6. Governments are increasingly aware of the need to implement policies that aim to simultaneously
achieve productivity improvement1, enhance adaptation to climate change and contribute to greenhouse
gas (GHG) mitigation (hereafter referred to as the three objectives). Policy makers’ interests in initiatives
such as Green Growth, Climate Smart Agriculture and Bio-economy reflect the importance of creating
synergies and achieving various goals at the same time.
7. Encompassing and coherent policies across the three objectives are however limited within
current policy setting and systematic assessments of current policies alignment with the three objectives
are needed. Integrating adaptation and mitigation objectives into existing productivity-enhancing policies
may not be sufficient if existing policies send conflicting messages to farmers. The agricultural sector
(including forestry) is subject to a wide range of national and international regulations, macroeconomic and
structural policies, as well as to policies specific to the agricultural sector itself. These policies have
intended and unintended effects on the three objectives, but they are rarely assessed. Assessing the effects
of policies with regard to the three objectives can contribute to understanding if and how policies induce
synergies or trade-offs. Importantly, a systematic assessment can also help evaluate which trade-offs are
acceptable, and identify areas for policy alignment or new policy action.
8. This document presents a qualitative framework for a systematic identification and assessment of
a range of policies and of their intended and unintended effects on three objectives: agricultural
productivity, climate change adaptation and mitigation. As a tool for policy makers, this framework aims
to:
Evaluate the integration of the three objectives within the policy making process,
Assess the coherence of the institutional setting regarding the three objectives,
Identify and assess policies that generate synergies and trade-offs between the three objectives of
productivity, adaptation and mitigation,
Identify initiatives on the ground and assess how they could inform policy design and
implementation
9. This work is designed as a complement to the OECD initiative on assessing policies to improve
sustainable agricultural productivity growth (OECD, 2015a). While the latter focuses, to a large extent, on
policies to improve agricultural productivity growth sustainably, the framework presented in this document
concentrates on the interactions between agricultural productivity growth and the climate change
dimension of sustainability (adaptation and mitigation). The framework presented here therefore
complements the sustainable productivity framework and aims to shed light on how policies generate
synergies or trade-offs between increased productivity and the two key climate objectives of adaptation
and mitigation.
10. Section 2 of this report presents the rationale of promoting synergies between the three
objectives given the short and long-term challenges agriculture faces. Section 3 reviews the limited
findings in the literature. Section 4 discusses the general set up of the framework. Each of the four parts of
the framework is discussed in separate sub sections. Examples of policies with impact on synergies and
trade-offs between the three objectives are included in the last sub-section. Section 5 provides concluding
remarks.
1 The main objectives are: 1) productivity improvement, 2) increased adaptation, and 3) GHGs emission reduction.
Throughout the document they are referred as 1) productivity, 2) adaptation and 3) mitigation.
COM/TAD/CA/ENV/EPOC(2015)42
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2 Promoting synergies between the three objectives is important given the multiple challenges
that agricultural systems currently face
11. Agriculture faces challenges to balance a rising demand for agricultural commodities with
constrained and deteriorating natural resources necessary for food production. Demand for agricultural
products continues to increase because of population growth, changes in diet, and the need for alternative
energy and fibre sources. At the same time, the availability of productive land with good quality is
decreasing for agricultural expansion in many countries (Steenwerth et al., 2014) and the competition for
other necessary resources such as water and minerals increases.
12. Several agricultural commodities face a slow down of yield growth. In many European countries,
the growth trend of cereal yields has been declining from the mid-90s, which can – at least partially – be
attributed to increased heat stress during grain filling and drought during stem elongation (Brisson, et al
2010). The OECD-FAO Agricultural Outlook 2015-2024 projects a further decline in yield growth for
cereals and oilseeds. In the case of Brazilian wheat, maize and soy as well as of Paraguayan soy, the
changes in temperature and precipitation between 1980 and 2008 have also slowed the expected yield
increase trends (Marengo et al. 2014). Climate disruptions to agricultural production in the US have
increased in the past 40 years and this trend is likely to continue (USNCA, 2014).
13. Extreme events already trigger serious economic consequences on agriculture. For example, the
2013 flood in Pakistan caused an estimated USD 1.91 billion in losses to the agriculture sector (Business
Insurance, 2013). During the droughts of 2011 and 2012 on the US Great Plains, ranchers liquidated large
herds due to lack of food and water. Many cattle were sold to slaughterhouses; others were relocated to
other pastures through sale or lease (Shafer, 2014). The indirect effect of heat stress, moreover, increased
vulnerability of livestock to disease, reduced fertility, and reduced milk production. Overall, it is expected
that climate disruptions to agriculture are projected to become more severe over this century (USNCA,
2014).
14. Climate change will have direct negative effects on agriculturefor most regions and crops. This
will depend on the intensity of individual changes in temperature and precipitation but also on their
combination. Projected effects of climate change include increased temperatures, increased variability in
temperature and rainfall patterns, changes in water availability, increased frequency and intensity of
extreme weather events, and changes in ecosystems (Beddington et al., 2012b; Gornall et al., 2010;
Wheeler and von Braun, 2013; USNCA, 2014). Towards the end of the century, climate change is
projected to negatively affect the growth rates of yields for most crops, especially at higher levels of
warming and at low latitudes. Figure 1 presents the projected effects of climate change on a selection of
crops across various regions. The average yields of a majority of crops, in practically all regions, are likely
to be negatively affected by climate change. In OECD countries, the yields of maize, wheat and rice are
projected to be lower, on average, by 10%, 7% and 6%, respectively by 2050, as compared to a situation
where current climate conditions would prevail (Ignaciuk and Mason D’Croz, 2014).
COM/TAD/CA/ENV/EPOC(2015)42
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Figure 1. Effects of climate change on crop yields are likely to be negative in most regions
(Central projection, percent change in yields under RCP 8.5 in 2050 relative to current climate)
Source : IMPACT model, based on the AgMIP study
15. Agriculture is also contributing a significant share of the greenhouse gas (GHG) emissions that
are causing climate change – 17% directly through agricultural activities and an additional 7% to 14%
through changes in land use (Tubiello et al., 2014; IPCC, 2007). The main direct agricultural GHGs
emissions are nitrous oxide emissions from soils, applications of fertilizers, manure and urine from grazing
animals, and methane production by ruminant animals (enteric fermentation) and paddy rice cultivation.
Nitrous oxide and methane are two important GHGs in terms of total global warming potential,
representing 6.2% and 16% of total global warming potential respectively, with agriculture accounting for
58% of total anthropogenic nitrous oxide emissions and for 47% of total anthropogenic methane emissions
(IPCC AR5, 2014). Agriculture is expected to remain the main source of these non-CO2 gases in the
coming decades (USEPA, 2013). This trend is particularly concerning given the significantly higher global
warming potential of nitrous oxide and methane relative to CO2. In addition, the sector generates emissions
indirectly due to changes in land use, including land clearing and deforestation.
16. In view of these challenges governments should promote policies that stimulate sustainable
agricultural productivity growth by exploiting synergies with both climate objectives. And perhaps even
more importantly, governments should avoid crucial trade-offs that arise from policies that are not fully
aligned. The agricultural sector is projected to have structurally lower yield growth rates, will experience
substantial direct and indirect impacts from climate change damages, and may face additional costs from
stringent economy-wide mitigation policies.
3 A limited literature exists on policy effects of and trade-offs with regard to the three
objectives
17. Analysing synergies and trade-offs across the three objectives – as well as identifying strategies
to address such trade-offs - has received limited attention in the literature. By far, most policy analyses
still investigate productivity, adaptation and mitigation aspects in silos of one or at most two objectives at a
time. Furthermore, most approaches to address climate change through policy are in their initial phase in
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COM/TAD/CA/ENV/EPOC(2015)42
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the agricultural sector (e.g. identifying vulnerabilities, risk assessments and data collection) and most
countries are yet to determine how to appropriately implement climate change policies (Duguma et al.,
2014). Based on the available literature, this section makes a brief reference to the way in which synergies
and trade-offs between the three objectives are currently being approached in the literature.
18. The existing literature indicates that policies and policy interactions may involve unintended and
adverse effects on objectives other than the one(s) directly targeted. In the words of Hove et al., (2014), “at
both the national and international levels, uncoordinated and at times conflicting policies spanning
economic development, climate change mitigation and adaptation, and food security can generate perverse
incentives and conflicting goals that hinder a more holistic approach to agriculture”. Similarly, OECD-
IEA-ITF-NEA (2015) argues that “government interventions to address climate change necessarily interact
with policies in many other areas and this may cause frictions and unintended consequences, if not outright
contradictions, as these policy interactions engage”. For instance, policies that promote the expansion of
feedstock production for biofuels might conflict with policies designed to reduce emissions from
deforestation and forest degradation (Pachecho et al., 2012), While promoting biofuel production could
result in GHG emission reduction outside of the agricultural sector (as result of substituting fossil fuels
with biofuels), GHG emissions from the agricultural sector could increase if new land is brought into
production by converting forests and wetlands into cropland. This is aggravated if the production of
biofuels involves the use of carbon-intensive chemical fertilizers and fossil fuels, and if production takes
place on already water scarce areas.
19. There is no unified metrics to measure the performance of policies on all three objectives.
Growth in environmentally adjusted multi-factor productivity (EATFP) - which measures a country’s
(sector’s) ability to generate income from a given set of inputs, while accounting for the use of natural
resources and production of undesirable environmental outputs – could be used to measure sustainable
productivity increase. But the task of estimating agricultural EATFP remains challenging (OECD, 2014a).
Mitigation actions via foregone emissions of GHGs or via sequestered carbon can be assessed using
estimates of CO2 equivalents. From the climate change perspective, while asbolute emissions reductions
are the main goal, the reductions of emissions intensity per unit of output is also desirable, as a step in the
right directions, and can be used as a secondary measure of progress in emission reductions. There is
however, no consensus on what the metrics of adaptation should be (Ford et al., 2013). Ignaciuk (2015)
discusses various ways to measure different proxies that can help monitoring progress in adaptation. Due
to the particular aspects of adaptation, such measures are hardly comparable betweeen countries. Appendix
2 suggests some indicators to measure the effects of policies on the three objectives.
20. Despite a growing recognition of the need to pursue mitigation and adaptation objectives in
agricultural systems, most adaptation and mitigation efforts continue to be approached individually. And
this is the case even though agriculture and climate change issues currently have a high profile of in policy
discussions Policy discussions have traditionally treated climate change mitigation and adaptation as
parallel, separate issues (Harvey et al., 2014, Hove, 2011). At the international and national levels,
adaptation and mitigation are addressed through different processes, discussed in parallel policy debates
that are rarely linked, led by distinct ministries or institutions, and involve different constituencies and
funding sources (Verchot et al., 2007; Locatelli et al., 2008, 2011). Mitigation is primarily driven by
international agreements (e.g. the Kyoto Protocol of the UNFCCC) and ensuing national public policies
whereas most adaptation is focused on local or national actions designed to minimize climate-change
impacts on local communities (Klein et al. 2007; Biesbroek et al., 2009). In the international context,
adaptation and mitigation are linked through the topic of climate finance, but this link translates more in
terms of competition for the same scarce resources, rather than in the implementation of specific policies.
This segmented policy approach may partly be a result of the key differences between mitigation and
adaptation; although they both aim at reducing the potential negative impacts of climate change, the spatial
and temporal scales they address create different implementation incentives (as described in Table 1).
COM/TAD/CA/ENV/EPOC(2015)42
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Table 1. Key differences between mitigation and adaptation issues
Mitigation Adaptation
Spatial scale Primarily an international issue, as mitigation provides global benefits
Primarily a local issue, as adaptation mostly provides benefits at the local scale
Time scale Mitigation has a long-term effect because of the inertia of the climatic system
Adaptation can have a short-term effect on the reduction of vulnerability
Policy scale Mitigation actions require collective engagements on national and international levels
Adaptation actions can provide local benefits, requiring national, regional and local level initiatives
Source: adapted from Locatelli, 2011 and Ignaciuk, 2015.
21. Further research is needed to address the knowledge gap on intended and unintended effects of
agricultural and environmental policies, as well as on the level of coherence between them. Not enough
attention has been put on assessing whether existing policies induce synergies or trade-offs between
productivity and climate objectives at the country or the global level. Therefore, there is a need for a
systematic identification and assessment of policy effects and policy coherence. Such an assessment will
help identify trade-offs, assess if they are acceptable or if they can be minimized, as well as assess if and
how synergies could be exploited.
4 Proposed policy assessment framework to illuminate trade-offs and synergies between the
three objectives
4.1 The general set-up of the framework
22. The framework presented in this document is designed as a tool to help decision makers to
systematically identify and assess existing policy effects across the three objectives. Many questions
proposed in this framework relate to impact assessment. The objective behind such questions is to
understand whether governments have performed such assessments and whether they have elements that
can be used for (partial) assessment. Such studies are not necessarily published and available in the
literature. Highlighting assessment gaps may help identify where policy assessments is needed, while
available assessment will help identify potential trade-offs.
4.1.1 The main building blocks of the framework
23. This framework builds essentially on two existing OECD works: i) The framework Analysing
Policies to Improve Agricultural Productivity Growth Sustainably which considers the full range of policy
incentives and disincentives (within and beyond the agricultural sector) with a potential impact on
sustainable agricultural productivity and innovation (OECD, 2015a); and ii) the policy coherence approach
developed by the OECD Policy Coherence for Development unit (2015f). This sustainable productivity
framework was applied to four countries; i) Canada (OECD, 2014b), Brazil (OECD, 2014c), Australia
(2015h) and the Netherlands (2015c). While not a goal in itself, policy coherence is a useful lens through
which policy effects are identified and assessed. Key conclusions from the OECD Coherent Policies for
Climate Smart Agriculture workshop (hosted by the Korean Ministry of Agriculture, Food and Rural
Affairs 17-18 June, 2015 on Jeju Island, Korea) are also integrated into this framework.
24. A necessary prerequisite to assessing the synergies and trade-offs is to understand the key trends
related to climate change and adaptive capacity of agricultural systems and farmers in a given country. The
framework presented in this document includes four parts: (I) policy goals; (II) institutions; (III) policies;
and (IV) on the ground initiatives (Figure 1). These parts integrate a top-down approach (Parts I to III) and
bottom-up approach (Part IV). Part I aims at understanding how the three objectives can are captured
COM/TAD/CA/ENV/EPOC(2015)42
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within the overal country’s policy goals and which of the objectives is prioritized. Part II of the framework
aims at identifying relevant institutions and assessing institutional coherence challenges. Part III of the
framework helps to identify and asses policy effects in terms of whether they generate synergies or trade-
offs across the three objectives. Part IV complements the top-down approach of Parts I-III by: i)
identifying on the ground initiatives involving both synergies and trade-offs across the three objectives,
and ii) assessing how these initiatives can inform policy design and implementation.
Figure 2. Framework to assess policy effects with regard to the three objectives
Part IPolicy goals
Part IIInstitutions
Part IIIPolicies
Part IVOn the ground
initiatives
Identifyinggoals
Assessing integration
of objectives
Identifying policies
Assessing policy effects
Identifying Institutions
Assessingcoherence
Identifying on the ground initiatives
Assessing how these can
inform policy design
Trends
25. The rest of this section reviews the role of each part of the framework and proposes a set of
questions to guide policy makers throughout the assessment. As a caveat, this framework is not designed to
compare countries but rather to highlight country specific policy incoherencies. The questions included in
this framework aim to identify potential effects of policies on the three objectives, and more importantly to
assess how policies might be resulting in trade-offs between the three objectives. The questions included in
the framework are not exhaustive, though. Moreover, the relevance of questions and sections may vary
across countries. Appendix 2 includes “suggested indicators” for each part to guide data collection and
analysis. It includes a set of the Green Growth indicators (OECD 2014d). Additionally, countries may have
developed an additional set of indicators and are invited to use them. It is also important to note that
indicators are not necessarily available, for instance, to measure qualitative policy effects and trade-offs;
identifying such gaps may be an important finding in itself.
4.1.2 The first step: identification of key trends including socio-economic and climate change trends
26. Identifying key trends can help determine goals that should be prioritized, and areas where
policy action is most needed. Policy makers need to consider key trends related to climate change,
agricultural systems and farmers, namely: (i) climate related hazards; ii) levels of exposure, vulnerability,
and adaptive capacity of agricultural systems and farmers; iii) potential risks and impacts on agricultural
systems and farmers; and (iv) potential impacts of agricultural systems on climate. Information on these
trends will be key to assessing whether current policies are contributing to sustainable and climate –
friendly agriculture production in the future. Risks are determined by the interaction of climate-related
hazards with exposure and vulnerabilities of societies or ecosystems (Figure 3).
COM/TAD/CA/ENV/EPOC(2015)42
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Figure 3. Schematic of the interaction among the physical climate system, exposure and vulnerability producing risk
Source : IPCC, 2014
27. There are large uncertainties associated with climate change impacts on agricultural systems and
farmers, as the above factors and their combination are locally specific. Climate change impacts may be
positive or negative, and the causality between climate change and weather events is not always clear.
Uncertainty in terms of the impacts of agricultural systems on climate is also a common issue; this is due
partly to the generally fluctuating and diffuse nature of emissions within agricultural production, as well as
to the complex relations between production and other stages of the agricultural value chain and between
the sector and other sectors
28. Furthermore, knowledge and information regarding climate trends might not always be available
or adequate. More specifically, key trends (identified through meteorological tools, weather stations,
seasonal weather forecasts, early warning systems and impact assessments, amongst others) could show if,
how and where droughts, temperature increases, extreme events or natural disasters could impact
agricultural and human systems. Lack of information might be obstructing the integration and prioritization
of climate objectives. In these situations, policy could potentially play a role by promoting investments in
knowledge creation (through the development of adequate tools) and management, specifically in relation
to climate change. A variety of questions, can guide countries in identifying the key trends mentioned
above (Box 1).
COM/TAD/CA/ENV/EPOC(2015)42
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Box 1. Identifying key trends
What are the key trends in terms of climate change hazards and risks? Including: the probability of occurrence and frequency of weather events, as well as emergent risks involving non-climate stressors; including the management of water, land, and energy.
What are some key trends in terms of productivity (TFP), levels of vulnerability and adaptive capacity of agricultural systems and farmers, with regard to climate change?
Are climate change impacts on agricultural systems, productivity levels, and farmers already observable?
What are the expected impacts of climate change on agricultural systems, productivity levels and farmers?
What are the trends in terms of GHG emissions generated by the agricultural sector, disaggregated by agricultural activities (including forestry)? How have the above trends been identified?
Has the public sector disseminated information with regard to these key trends?
4.2 Part I. Policy goals: how the three objectives are captured within the country’s policies
29. This section clarifies what are the three objectives and guides policy makers in assessing how the
objectives are (or not) integrated into country’s policies.
4.2.1 Objective 1 - Agricultural productivity
30. Improving productivity is a key factor on which growth of an economy is influenced (OECD,
2015a). Agricultural productivity is the ability of the sector to convert inputs (such as capital, labour, land
and other natural resources) into commodities. It is commonly defined as a ratio of a volume measure of
output to a volume measure of input use. Productivity improves if the same use of inputs (e.g. capital,
labour and land) produces a larger volume of output or, alternatively, if the same volume of output is
achieved by means of less inputs (COM/TAD/CA/ENV/EPOC(2015)2). When agricultural productivity
increases, resources (including labour and capital) can be released from food production to expand the non-
agricultural sectors of the economy; natural resources such as land and water can also be used for
environmental purposes. If populations continue to grow and natural resource stocks continue to be
depleted at the current rate, growth in agricultural productivity without adversely affecting the natural
resources will become increasingly important (OECD, 2014a). Agricultural productivity growth can
contribute to: (i) improving food security; (ii) poverty reduction; (iii) sustaining agricultural employment
and livelihoods, (iv) increasing national revenues and economic growth and (v) increasing environmental
services. The extent to which increased agricultural productivity will influence the above mentioned
elements depends in part on the country characteristics
4.2.2 Objective 2 - Climate change adaptation
31. Countries increasingly stress the importance of adaptive actions against locally-specific climate
change related risks and vulnerabilities. Moreover, managing climate change risks, as well as pursuing
adaptation to the adverse effects of climate change and increasing the resilience of agriculture (among
other sectors) preveils on most national adaptation strategies (Ignaciuk, 2015). However, interpretations on
how to achieve these overarching goals differ. For instance, in the case of the Netherlands, increasing the
overall sustainability and resilience of the agricultural sector, is the priority (Martijin Root, Coherent
Policies for Climate Smart Agriculture Workshop).
2 Expert workshop measuring environmentally adjusted agricultural total factor productivity and its determinant.
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32. Adaptation actions in agriculture, as defined by the IPCC, should be aimed primarily at
increasing the adaptive capacity of agricultural systems and securing long-term agricultural productivity.
When levels of risk and vulnerability are extremely high, and impossible or costly to address, adaptation
can involve considering alternative production systems, alternative products, non-farm income sources or
the geographical relocation of communities. Actions aiming at responding to climate change impacts in the
short term but increasing vulnerability and potentially affecting productivity in the long run, would be
better termed as ‘coping strategies’ rather than adaptation measures. Such actions may lead to
maladaptation3 - resulting in increased environmental and climate degradation and in increased
vulnerability in the long term.
4.2.3 Objective 3 - Climate change mitigation
33. Mitigation actions aim at reducing GHG concentration through reduction of emissions and
enhancement of carbon stocks. Reducing GHG emissions in agriculture can be achieved, for instance,
through policies to promote (i) switching from emission intensive inputs to GHG-neutral substitutes; (ii)
increasing the efficiency of input use; or (iii) changing soil management and tillage practices. Currently,
most of low- and medium income countries do not include mitigation actions in their agricultural policy
objectives. High-income countries stress the need to include mitigation efforts by the agricultural sector,
but beyond emission reduction through more efficient resource use, limited actions have been undertaken.
Setting policy targets for planned mitigation in agriculture can be challenging, notably for two reasons: (i)
it is generally argued that reducing emissions from the sector should not compromise the ability of the
agricultural sector to sufficiently provide food and other products; and (ii) emissions from the sector are
generally diffuse and fluctuating in nature.
4.2.4 Assessing the integration of objectives in the policy making process
34. The process of integrating the three objectives within the national policy making process is
challenging. In recent years, various countries, have gradually introduced sustainable productivity and
climate change adaptation in policy design and implementation. The extent and levels of integration vary
across countries. Integration can be i) reflected in the legal, policy and instutional framework, for instance
through national adaptation plans or sectoral plans ii) limited to programme or project design and
implementation; or iii) both. Integration of objectives should take place at different levels: national, local
or sectoral plans and programmes. Integrating these objectivesobjectives, might represent progress in
addressing climate change challenges for the agricultural sector, nevertheless the particularities of the
integration process should be assessed.
35. Policy makers should assess not only if and to what extent they have integrated the three
objectives but also if the prioritization of objectives corresponds to their international commitments,
national development priorities and climate related risks and impacts.
36. Moreover policy makers should determine if and when some trade-offs between the three
objectives objectivesand are acceptable (given that double or triple wins are not always possible).
Synergies and trade-offs between policy objectives might be present, for instance, in situation
whereproductivity is prioritized overadaptation or mitigation, i.e. when policies put in place
environmentally harmful subsidies to increase short term productivity). Prioritising one or two of the three
objectives, however, does not necessarily mean that the other objective(s) are not taken into consideration.
Box 2 is designed to guide the assessment of the integration of objectives in the policy making process
3 . Maladaptation refers to actions or inaction that may lead to increased risk of adverse climate-related outcomes,
increased vulnerability to climate change, or diminished welfare, now or in the future
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Box 2. Assessing integration of objectives within national goals
Are the three objectives of agricultural productivity, climate change adaptation and climate change mitigation policy priorities?
Have these objectives been formally included in the country legislation, national, rural and sectoral development plans?
How do the legal framework, policy framework and budget allocation reflect the prioritization of objectives and objectives?
Have these objectives been included in (public) programme and project design and implementation?
If yes, what are the specific objectives and targets set for and within each objective?
Does the government prioritize one objective over others? Which one(s)?
What is the rationale identified by governments behind the integration and prioritization of objectives? (e.g. international agreements, national priorities, key trends related to climate change and socio-economic characteristics)
4.3 Part II. Institutions: assessing institutional setting coherence between the three objectives
37. Even when the three objectives have been integrated in the policy making process, they are
generally addressed by different institutions and funded through different mechanisms. Therefore,
countries should assess institutional setting coherence and coordination challenges at the international,
regional, national and local levels. This requires assessing (i) if institutions are working in coordination
with each other, and through which intra and inter-institutional mechanisms and (ii) if and how
institutional setting coherence and coordination issues are or could be identified, monitored and addressed.
38. Identifying key institutions and stakeholders responsible for addressing the three objectives, and
analysing institutional effectiveness and coordination (for the design, implementation, monitoring and
evaluation of policies, programmes and projects) are essential to determining how the objectives and the
associated strategies and funding mechanisms are integrated and distributed between and within various
institutions. The lack of co-ordination and co-operation and a segmented institutional approach might
result in trade-offs between and within objectives. Identifying institutional coherence challenges, could
ultimately contribute to creating synergies between different objectives. Box 3 is designed to guide the
assessment of institutional coherence.
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Box 3. Identification and assessment of institutional coherence
What are the main institutions responsible for designing and implementing policies in relation to the three objectives? (At the international, national, local and sectoral levels)
What are the main funding mechanisms with regard to the three objectives? (At the national, local and sectoral levels)
Have there been studies to identify inter and intra-institutional coordination issues between relevant institutions?
Do institutions address the planning, implementation and funding of the three objectives separately or jointly? What are the implications of addressing these objectives separately or jointly?
Have formal mechanisms been established to improve inter and intra-institutional coordination and policy arbitration, with regard to the three objectives?
What mechanisms exist to balance the interests of diverse institutions and stakeholders?
Do these mechanisms define clear mandates and responsibilities? Are they able to formulate national positions on policy options and to resolve conflicts between the views and responsibilities of various institutions and stakeholders?
4.4 Part III. Policies: identifying whether policies generate synergies or trade-offs between the
three objectives
39. This section helps to identify and assess a range of policies that may affect the three objectives in
direct and indirect ways. First, a broad map of various policies is presented. Second, each of the main
policy areas is discussed separately and a range of guiding questions are proposed in order to help assess
the impacts of various policies on the three objectives. Third, based on a literature review, four examples
are presented, each detailing a preliminary assessment for one specific policy.
4.4.1 Identifying relevant policies
40. A wide range of international and national regulations, economy-wide policies and sector-
specific policies create a diverse set of incentives and disincentives to achieve progress across the three
objectives in the agricultural sector. As such, poorly designed policies might not only be ineffective in
achieving their explicit objective(s), but they might also generate unintended negative effects on the other
objectives.
41. Although the effects of a particular policy and of policy interactions will vary across countries, it
is possible to identify policies that often have significant effects on the three objectives. Table 2 lists a
range of policies at the international, national, local and sectoral levels are likely to impact at least one of
the three objectives. While not an exhaustive list, the table provides a starting point for policy makers to
identify policies they may need to evaluate in their domestic context.
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Table 2. Examples of policies with potential effects on the three objectives and their objectives
4.4.2 Assessing the effects of policies on the objectives
42. This section discusses the effects of policies on the three objectives for four main policy areas: i)
international and regional policies, ii) national and local policies, iii) sectoral policies beyond agriculture
and iv) agricultural policies. The section also guides policy makers in assessing the impacts of various
policies on the three objectives.
43. It is impossible to distill the exact impact of a particular policy initiative on the three objectives
because there are many other factors that are influencing and hence diluting the signals. These socio-
economic and behavioural and other influences will have an effect on how a particular policy is
implemented, and how a policy affects behaviour and thus the impacts of the policy on the economy. .
International and regional policies
44. International trade and economic co-operation agreements, as well as climate frameworks,
agreements and coalitions will have intended and unintended effects on the three objectives. For instance,
international phytosanitary standards, import tariffs, import quotas, and commodity prices in international
markets, affect domestic production and productivity trends. These may also have an effect on GHG
emission patterns. International climate policies or commitments, such as the Kyoto Protocol or the
Intended Nationally Determined Contributions (INDC), may set specific targets for emission reductions at
the national and sectoral level.
International & Regional
Trade & economic cooperation agreements
WTO regulations and agreements Bilateral, regional and multilateral trade agreements Regional Agricultural Policies
Climate frameworks, agreements & coalitions
United Nations Framework Convention on Climate Change Kyoto Protocol Global Climate Change Alliance Global Alliance for Climate Smart Agriculture COP 21- Intended Nationally Determined Contributions (INDC)
National
National development plans
National adaptation plans
National Adaptation Funds National Regulations
Local
Rural development plans Public investments on rural development priority areas (infrastructure, education, health) Taxes on incomes and property
Sectoral
Land Legislation and policies outlining the allocation of national land resources: land rights, distribution, acquisition, management, use, forms of tenure
Non Agricultural (Energy, infrastructure, water, mining, & trade)
Blending mandates Tariffs or import barriers to promote domestic production of biofuels or fossil fuels Support for investment, tax credits, exemptions or reductions related to mine exploration and development Water and energy support for irrigation
Social protection
Insurance mechanisms Cash transfers
Agriculture
Tax reductions, exemptions or credits for farmers Market price support Income support: coupled or decoupled payments Environmental payments Input subsidies Investments in research and development Advisory and extension programmes
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45. Countries should identify and assess the effects and coherence of international and regional
policies with regard to the three objectives. There may be incoherencies among different international and
regional agreements, as well as between these and domestic policies. Such incoherencies may potentially
lead to trade-offs between the objectives. For instance, an INDC might set specific targets for emission
reductions for the country while existing sectoral policies are incentivising practices that increase GHG
emissions, for example through subsidizing energy consumption for irrigation or providing tax cuts or
other incentives that promote the use of fossil fuels. Box 4 is designed to guide the assessment of the
international and regional policies.
Box 4. International and regional policies - Assessing policy effects
What are the most relevant trade, cooperation and climate agreements with potential effects on the three objectives?
Have the effects of trade, cooperation and climate agreements with regard to the three objectives been identified? If yes, what are they?
Is there coherence amongst signed or ratified international and regional agreements, in terms of the productivity or production, climate change adaptation or mitigation goals they aim to achieve?
Is there coherence between international and regional agreements on the one hand and national, local and sectoral plans and policies on the other hand with regards to the three objectives?
How are international and regional agreements integrated in the domestic policy setting? What is their influence on the three objectives?
National and local policies
46. National development, adaptation and rural development plans provide evidence on the extent to
which the three objectives have been formally integrated in the national priority areas. National regulations
may encourage productivity, mitigation and adaptation in areas such as the use of land and natural
resources, emission standards and targets, and the use of fertilizers and fuels in the sector. Box 5 helps
policy makers to assess whether and how existing regulations are affecting synergies and trade-offs in
agricultural productivity, adaptation and mitigation.
Box 5. National and local policies - assessing policy effects
Do national, rural and local development, adaptation and mitigation plans set specific objectives and strategies for the agricultural sector?
How do urban policies (e.g. policies related to urban development or policies regulating drinking water quality) affect the agricultural sector?
Are there national regulations that include specific provisions or restrictions on the allocation of national land resources: land rights, distribution, acquisition, management, use, forms of tenure? What are the visible or potential implications for the three objectives?
Have certain policies effectively incentivized regulations directly promoting specific types of production over others: forestry production or conservation; agricultural production of certain crops for food, energy or fiber; specific management practices or technologies; livestock production; or urbanization?
Are there national regulations that include specific provisions or restrictions on the use of inputs, such as fertilizers or fossil fuels, among others? What are the implications of these regulations on the three objectives?
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Sectoral policies beyond agriculture
47. Policies for other sectors of the economy such as: industry, energy, infrastructure, housing, and
transports, can have an impact on agricultural productivity, climate change adaptation and mitigation. As
such, sectoral policies may create incentives and disincentives by for example affecting farmer’s incomes
or affecting availability, prices and cost of natural resources. In that sense, some sectoral policies could
potentially generate trade-offs between the three objectives. Box 6 helps the policy makers to assess
whether and how non-agricultural sectoral policies may affect climate change adaptation, mitigation, and
productivity of agriculture.
Box 6. Sectoral policies beyond agriculture - assessing policy effects
What are the effects of sectoral (forestry, industry, energy, infrastructure, housing, telecom and transports) and rural development policies on the three objectives?
Have policies promoted the supply of inputs, such as water and energy below their marginal cost? If yes, has this encouraged the enhanced use of these resources? What has been the intended or unintended impact of these policies in terms of productivity, adaptation and mitigation?
What are the effects of certain tax arrangements, beyond the agricultural sector, on agricultural productivity, climate change adaptation and mitigation?
Agricultural Policies
48. The central role of agricultural policies for the three objectives warrants a more detailed
discussion of various types of policy measures in agriculture that may impact the three objectives, namely
i) agricultural policies, ii) agricultural research and development, iii) extension and advisory services.
Agricultural support policies
49. Agricultural policies can impact the three objectives in synergetic or conflicting ways.
Agricultural support may affect land use or farmer incentives to adopt specific crops or production
measures. For instance, policy instruments that distort input and output markets reduce producers’
incentives to use production factors efficiently and can encourage the adoption of agricultural practices that
increase climate change vulnerability or GHG emissions. As stated by Lehtonen (2008) "policies coupled
to production may provide strong incentives to increase input use intensity of environmentally harmful
inputs, such as fertilizers or pesticides, or they may drive land allocation towards more intensive crops or
expand agriculture into sensitive areas, i.e. such incentives may reinforce environmental market failures”.
Moral hazard may be exacerbated by under-pricing insurance and affect the resilience of agricultural
production. Nevertheless, the impact of agri-environmental policies on production and productivity needs
to be better understood. Peltonen et al (2015) is a good example of a forward-looking study aiming at
identifying the impact of agri-environmental policies, namely the Finnish agri-environmental program
(AEP) on cereal yields and quality.
50. In contrast, depending on their design and under certain circumstances, policy instruments such
as agri-environmental payments, agricultural insurances, support to access credits and other financial
services, could encourage more sustainable or profitable investments, as well as the adoption of adaptation
and mitigation measures. Moreover, policies that facilitate access to financial services based on compliance
with environmental standards could also incentivize farmers to adopt agricultural practices with positive
effects in terms of adaptation and mitigation. However, if poorly designed, some agricultural support
policies may not be efficient or cost-effective and might have unintended effects on one or more of the
three objectives.
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51. It is also important to consider whether some of the above mentioned policies create disincentives
for farmers to increase or sustain productivity levels. Effectiveness of these measures in increasing
productivity will depend on the objectives set to these instruments (such as social protection, poverty
reduction or economic growth). Furthermore, the explicit objective of the agricultural policies is not
always clear.
52. Policy makers should identify and assess the effects and interactions of various agricultural
support policy instruments with regard to the three objectives. Based on this assessment, policy makers
should concentrate on addressing the negative effects, through policy reform or further policy action. In
fact, policy failures should be removed first and then the remaining market failures should be addressed by
targeted policies (Lehtonen, 2008).
Box 7. Agricultural policies - assessing policy effects
What agricultural policy instruments are in place (e.g. tax incentives, income support measures, market price support, fertilizer subsidies, water and energy subsidies for irrigation, support for accessing insurance (crop or index) schemes or credits)?
What is the importance of these instruments (as reflected in budget allocation) compared to other public investments in the sector?
What is the explicit objective of these instruments? Who do they target? Has the effectiveness and impacts of these instruments been assessed? What are the visible or potential impacts of these instruments on the three objectives?
Have these instruments been effective in promoting increased productivity (in terms of crop responses and increased incomes)? If yes, what are the visible or expected implications (in the short term and the long term) for climate change adaptation and climate change mitigation?
Have measures such as environmental payments and insurance subsidies been effective in promoting the uptake of adaptation and mitigation measures? What is the visible or potential impact on productivity related objectives?
Has the implementation, reform or removal of certain agricultural support policy instruments resulted in an increase or decrease in productivity levels? If yes, in which way and how have they impacted agriculture adaptation or mitigation?
Research and Development
53. Research and development (R&D) activities, such as the generation and dissemination of high-
quality information and knowledge awareness on climate change and agriculture related trends, may help
prepare farmers to prevent or address climate impacts. R&D plays an essential role in the identification and
development of new technologies and processes of production. If agricultural R&D simultaneously
integrates productivity growth, climate change adaptation and mitigation objectives, it can contribute
towards achieving increased synergies. But if R&D prioritizes some objectives at the detriment of others,
or if farmers are exposed to asymmetric or incorrect information, this may result in trade-offs between
objectives.
54. Policy makers should identify the main trends in agricultural R&D to assess if and how the three
objectives are being prioritized and integrated into R&D programmes. This assessment can help identify
trade-offs between the three objectives and barriers to the integration of climate objectives into agricultural
R&D (including coordination, financial, knowledge infrastructure amongst other barriers).
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Box 8. Agricultural R&D - Assessing policy effects
Are productivity, climate change adaptation and mitigation set as R&D priority areas? Does R&D integrate productivity, climate change adaptation and mitigation objectives?
Does R&D prioritize one or two of the three objectives? If yes, what are the visible or expected implications for the other objectives?
Are there mechanisms to increase collaboration between public, private, or international researchers with regard to integrating the three objectives?
Are R&D results available and accessible for farmers?
Are there any examples in which lack of coordination and cooperation between research institutions or limited access to information resulted in the provision of asymmetric or incorrect information? What are the visible or expected effects on the three objectives?
How does knowledge generation translate into (on the ground) increased uptake of productivity, adaptation and mitigation measures?
Capacity Building: Extension and Advisory Services
55. Extension and advisory services can play an important role in providing famers with training,
tools, information on key trends, as well as in promoting the adoption of available innovative synergetic
measures and technologies. Nevertheless, trade-offs across objectives may arise according to: the nature
and structure of these services, and the way in which objectives are integrated into these services; the lack
of coordination within and between institutions and stakeholders in charge of planning, funding,
implementing and monitoring and evaluation of extension and advisory services; amongst others.
Therefore, policy makers should assess the nature, structure and availability of extension and determine if
and how the three objectives are being integrated and prioritized in that domain.
Box 9. Extension & Advisory Services - assessing policy effects
What is the role of the public sector in providing advisory and extension services?
What are the main institutions and stakeholders involved in the provision of advisory services?
What is the explicit objective(s) of these services? Who do they target?
Are extension and advisory services widely available and used?
Do these services integrate the three objectives? What objectives do they prioritize? How?
If they prioritize one or more objectives over others, what are the visible and expected implications for the other objectives?
Have these services promoted the adoption of agricultural productivity improving technologies or practices? Which measures or practices? What are the visible or potential implications for adaptation and mitigation?
Have extension and advisory services promoted the adoption of climate change adaptation technologies or practices? Which measures or practices? What are the visible or potential implications for productivity and mitigation?
Have extension and advisory services promoted the adoption of certain climate change mitigation technologies or practices? Which measures or practices? What are the visible or potential implications for adaptation and productivity levels, or for both?
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4.4.3 Examples of trade-offs between the three objectives
56. To identify and assess trade-offs resulting from policy impulses, countries should consider the
effects of policies on each objective, as well as the combination of effects.
57. Moreover, the choice of indicator is important in the assessment of policies impact on the three
objectives. Policies might affect different components of agricultural total factor productivity in
contradictory ways. For instance a policy can result in decreased agricultural labour productivity, and
simultaneously result in increased yields. Countries should assess the combination of effects to determine
whether the effects of policies are positive or negative for agricultural total factor productivity. The same
principle holds for assessing policy effects on climate change adaptation and mitigation. A policy may
promote a decrease of GHG emissions per unit of output or at the farm level. However, assessing if this
decrease is positive or negative for climate change mitigation should be done in consideration of total
emission reduction within and beyond the agricultural sector.
Example of non agricultural sectoral policies: subsidies for energy use for irrigation
58. Support to energy consumption is a common policy measure and frequently takes the form of tax
concesions and budgetary transfers. According to OECD (2015e), the OECD and large emerging
economies support both production and consumption of fossil fuels in the order of USD 160-200 billion
annually over the period 2010-14, part of which goes to the agricultural sector. Countries such as the
United States, China, Mexico, Spain, Pakistan and India rely significantly on grounwater irrigation
(OECD, 2015d) and, on ocasions, this activity is suppported by governments. For instance, in Mexico in
2011, more money was spent on subsidies to partly cover the cost of electricity for water pumping than on
improving irrigation infrastructure (OECD, 2013b). The energy subsity for irrigation amounted to USD
649 million in 2011, more than nine times the support to farmers investment in more efficient water
infrastruture provided the same year.
Effects on productivity
59. Subsidies for energy use for irrigation have direct positive effects on yields, via increased use of
irrigation, but the effects on TFP may be less clear when accounting for inefficient resource use
incentivised by the subsidy. In the short term, increased irrigation may allow farmers to respond to water
scarcity by increasing agricultural yields through increased pumping of groundwater. For instance, during
the drought year of 2009 in India, when the rainfall deficit was 33 percent and 66 percent in Punjab and
Haryana respectively, the reduction in irrigated paddy area was only 0.7 percent and 10 percent
respectively, thanks to intensive groundwater use supported by energy support policies (GoI, 2009). Thus,
short-term productivity was largely maintained, at the expense of increased reliance of scarce natural
resources.
60. From a long term perspective, energy subsidies for irrigation appear to have negative effects for
the three objectives, including productivity. Significantly increasing groundwater extraction is likely to
lower the groundwater table, and can be associated with negative environmental externalities, such as
stream depletion, land subsidence or water salinisation (OECD, 2015d). In north-western India, energy
subsidies for irrigation have resulted in an average decline of the groundwater table by 33 cm per year
(Rodell et all.,2009). In fact, 29% of the country´s groundwater assessment blocks were considered in a
semi-critical, critical or over-exploited state (UNESCO, 2014). The World Bank used evidence from the
Republic of Yemen and the MENA region to show that accelerated water depletion rates were associated
with energy mispricing (Commander et al. 2015). Consequently, once the groundwater resource is
depleted, the irrigated agricultural practices will observe a sharp drop in productivity.
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Effects on adaptation
61. Energy subsidies for irrigation artificially promote the use of water intensive crops that are not
necessarily adapted to the country or region’s climatic conditions. By facilitating production in water
scarce areas, these policies increase vulnerability and create a barrier to adaptation to climate change. They
support production in areas in which alternative products and production systems should be explored
(OECD, 2015; Anita Wreford, Coherent Policies for Climate Smart Agriculture).
62. On occasion, energy subsidies have also mistakenly been promoted as an adaptation measure
given that in the short term, they might help farmers respond to water scarcity. However, as explained
above, these policies promote unsustainable resource use and thus, in the long term they may decrease the
adaptive capacity of the agricultural sector.
Effects on mitigation
63. By lowering the end-user price, energy subsidies for irrigation generally encourage wasteful
consumption of energy and consequent lead to an increase in greenhouse gas emissions. Therefore, in the
short term the main trade-off resulting from this policy is between increased agricultural output on the one
hand and increased GHG emissions on the other hand.
Synergies and trade-offs between the objectives
64. Figure 3 illustrates the potential effects of energy subsidies for irrigation in the short and long
term.
65. The adverse effects of energy subsidies for irrigation suggest a need for reforming and phasing
out such support policies. Potential reforms include monitoring and measuring, adequately pricing (or in
another way controlling) water and electricity consumption, promoting less water intensive practices and
crops, and selecting crops based on aspects such as long term resilience of agricultural systems and
competitiveness. More generally, the removal of environmentally harmful subsidies4 should be
complemented by management measures to rationalise long term use and mitigate the potential
environmental externalities associated with groundwater use (OECD, 2015d). These include investing in
information and monitoring of water use for irrigation, and employing a “tripod”combination of regulatory,
economic and collective approaches (OECD, 2015d).
4 EHS are policies encouraging activities or practices that are deemed harmful to the environment in the
sense that they aggravate environmental externalities.
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Figure 4. Short and long term potential intended and unintended effects of energy subsidies for irrigation
Example of agricultural policies: subsidized insurance
66. In recent years, OECD and non-OECD countries have put in place policies aimed at increasing
farmers’ access to insurance schemes with one or more of the following objectives: increasing agricultural
investments, reducing poverty, and addressing external shocks (including climate related risks and natural
disasters). In the United States for instance, the Federal Crop Insurance Program has grown significantly
over the past 20 years while premium subsidies grew from $322 million in 1992 to nearly $7 billion in
2012, accounting for inflation (USDA, 2014). Policies to promote enrolment in agricultural insurance
schemes include insurance premium subsidies, cash grants, and mandatory participation in insurance
schemes to access credits or other benefits. Anton et al. (2012) confirmed that that the gain for the farmer
from lower risk is generally smaller than the budgetary cost of the measure.
Effects on productivity
67. Regarding the potential effects on productivity, agricultural insurance has the potential to
promote agricultural investments and contribute to achieving higher productivity and poverty reduction. In
developing countries, uninsured risk may keep poor households in a vicious circle of poverty, holding them
back from adopting technologies that are high return but often considered high-risk (Rosenzweig and
Binswanger 1993). Various studies have linked risk avoidance to limited fertilizer use, which in turn is
seen as an important constraint for agricultural productivity among poor farmers of developing countries
(Christiaensen and Demery, 2007). The results of studies carried out in Ghana (Karlan et al, 2013) and
Ethiopia (Dercon and Christiaensen, 2011) indicate that insurance can have a significant impact on
increased use of fertilizers and positive impacts on yields and revenues.
68. Weber et al. (2015) analysed the effects of Federal Crop Insurance in the US on farming practices
using 2000-2013 panel data (since the Agricultural Risk Protection act was reinforced) and did not find any
impact of the insurance programme on the way farmers chose to use their land, establish their crop mix or
apply fertilisers and chemicals.
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69. Nevertheless, in the case of subsidized crop insurance premium the effect on productivity might
also be negative if for example, subsidizing risk leads to moral hazard. For instance, Smith and Goodwin
(1996) evidenced that wheat growers in Kansas, United States who purchased crop insurance tend to use
less fertilizer and chemicals than those that did not insure. Insurance companies are not in a position to
verify if lower yields have been the result of farmers’ negligence (moral hazard) or if they have been the
result of an external shock. Alternatives to crop insurance such as index insurance might be more effective
in promoting agricultural investments and long-term adaptation. According to Karlan et al (2013), using
index insurance rather than crop insurance helps to eliminate moral hazard and adverse selection because
pay-outs depend only on observable realizations. Index insurance programs for smallholders are currently
implemented in countries such as India, Ethiopia and Senegal. Case studies carried out by Hansen et al.
(2015) in these countries, suggest that these schemes appear to unlock opportunities for farmers to increase
incomes, protect their assets, increase their access to services such as credit, or increase food security.
Effects on adaptation
75. In addition, insurance schemes may have adverse effects for long-term adaptation. For instance,
over-subsidised insurance can incentivise farmers to maintain practices or crops that are poorly adapted to
a changing climate. Public support for insurance schemes (and for ex post payments) may reduce the
incentive to diversify farm production away from more existing crops and practices that may be climate
sensitive, therefore reducing farmer’s resilience (Anton et al., 2012). In addition, preferential subsidy rates
for certain crops can also reduce incentives for crop diversification or multi-cropping. Increased yields and
consequent increased profitability in the short term are not always equated to increased adaptive capacity
of agricultural systems in the long term. If, for example, preferential subsidy rates are given to water
intensive crops in already water scarce areas, the policy will promote increased yields of such a crop in the
short term, while potentially exacerbating water scarcity and increasing vulnerability of farmers and crops
in the long term. Annan and Schlenker (2014) provide some evidence that highly subsidized crop insurance
program may expose farmers to mal-adapting behaviour regarding extreme heat by dis-incentivising them
from engaging in possible adaptation strategies to cope with extreme heat thereby exacerbating potential
losses. Climate change may amplify the problem as it will increase the frequency of extremely hot
temperatures.
Effects on mitigation
70. The impact of this policy on GHG emissions is unclear. Insurance could unintentionally generate
an increase in GHG emissions if farmers switch to crops that are more climate sensitive and need more
water and fertilizer input. In such a case, the instrument may yield trade-offs between productivity or
adaptation on the hand and mitigation on the other hand.
Synergies and trade-offs between the objectives
71. Figure 5 illustrates the potential intended and unitended effects of crop insurance.
72. Given the ambiguities that crop insurance policies may have on the three objectives, it is
important for countries to gather the evidence from current policies that may affect the signals provided to
farmers. OECD (2011) investigated under which conditions public policies should support insurance
subsidies and concluded that current system go beyond correcting potential insurance market failures.
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Figure 5. Potential intended and unintended effects of crop insurance
Example of agricultural policies: fertilizer subsidies
73. Input subsidies are used extensively around the world, in particular in developing countries
driven by the following objectives: increasing production; achieving food security; or reducing poverty.
For many African countries, input subsidies have been a major component of agricultural policy since their
independence. For example, in 2011 ten African governments spent roughly USD 1 billion annually on
input subsidy programs; amounting to 28.6% of their public expenditures on agriculture (Jayne & Rashid,
2013). Subsidies provided on inputs, and more specifically on fertilisers, is prefaced on the belief that
increased agricultural production that could reduce poverty and improve food security has been stymied by
the inability of many farmers to buy the inputs and technology that are known to be effective (Wiggins and
Brooks, 2010).
74. Importantly, such policies may also pose a large burden on government budgets and may have
significant adverse effects on the economy. According to Jayne and Rashid (2013), the cost of input
subsidies can outweigh their benefits and divert public expenditure from more efficient investments. Based
on studies from India, Malawi and Sri Lanka, Wiggins and Brooks (2010) suggest that input subsidies,
despite promoting input use over the short to medium term, had questionable lasting effects and have not
always been effective in addressing market failures, such as compensating for high costs of transport;
offsetting high costs of supplying inputs when markets have low volumes and economies of scale in
logistics cannot be achieved; compensating for the lack, or inadequacy, of financial markets and making
inputs accessible for the poorest farmers. These support policies involve risks such as potential distortion
of the relative costs of factors, leading to inefficient allocation of inputs, leakages such as landlords raising
land rents and appropriating the value of the subsidy, or different types of corruption; and repressed
development of private supply of inputs.
COM/TAD/CA/ENV/EPOC(2015)42
27
Effects on productivity
75. According to Todaro and Smith (2011), the increasing use of fertilizers offer enormous potential
for raising agricultural output in developing nations and up to date it has been highly effective in doing so,
particularly in Asia. Input subsidy programmes are also put forward as mechanisms to substitute local
production for imports and reduce dependence on world markets for food commodities. This is only valid,
however, in situations where a limiting production factor is a lack of fertilizers, giving that other necessary
production factors such as adequate quality and quantity of soil and water are in place. In developed
countries, stimulating additional use of fertilizers, may not have a positive effect of increased productivity.
If farmers overuse fertilizers, this may negatively affect agricultural productivity by incentivising
inefficient use of fertiliser (OECD, 2015i).
76. Recently the debate has surpassed the issues of adoption and adequate utilization and also
focused on crop response rates or in other words on the rate at which fertilizers are able to increase yields.
Jayne and Rashid (2013) argue that recent estimates using farm panel survey data in sub-Saharan Africa
(SSA) and Asia, consistently find relatively low crop responses, indicating marginal profitability or in
some cases unprofitability of fertilizer use. Marenya and Barrett (2009) claim that marginal yield response
to nitrogen application is low on carbon deficient soils. Other studies argue that farmers might be unable to
benefit from the potential benefits of improved seeds if these are grown on degraded soils, which are
nonresponsive to fertilizer application (Giller et al. 2006; Tittonnell et al. 2007). Case studies carried out in
Ethiopia (Dercon and Christiansen, 2011; Hill and Tsehaye 2014) evidence that fertilizer returns are high
when rainfall is favourable and negative when rainfall is too low or too high. The above studies indicate
that crop response rates might vary significantly under different circumstances. Therefore, considering soil
fertility, water scarcity and unavailable water control or irrigation, seems essential when assessing the
effectiveness of fertilizer use and consequently of input subsidy programs.
Effects on adaptation
77. The effects of input subsidies may also be exacerbated due to the changing climate. Climate
change is likely to alter the indirect crop response. Threats posed by environmental degradation -
deforestation, soil degradation, salinization of irrigated lands, water scarcity and contamination - are
increasing due to climate change and the consequent intensification of extreme events (CAN, 2009). It is
likely that without correcting for climate effects, stimulating the use of fertilizers might not be sufficient to
adapt agriculture to climate change.
Effects on mitigation
78. It is likely that, because of fertilizer subsidies, GHG emissions per unit of output increase both
within the production process of fertilizers and due to their increased application. Moreover, facilitating
access to fertilizers does not necesssarily guarantee their adequate use.
Synergies and trade-offs between the objectives
79. Figure 6 illustrates the potential intended and unintended effects of input subsidies under various
conditions combining three main aspects: input use; water availability and control; and soil quality. It is
important to note that this figure does not evidence all possible aspects, conditions or effects. OECD
(2015i) stresses that overall input subsidies should be reduced with a view to eventual elimination.
COM/TAD/CA/ENV/EPOC(2015)42
28
Figure 6. Potential intended and unintended effects of input subsidies
4.5 Part IV. Assessing how on the ground initiatives can inform policy design and implementation
80. Many on-the-ground initiatives that focus on promoting alternative production systems have
been developed to exploit synergies between agricultural productivity, climate change adaptation and
mitigation related objectives. Generally, these initiatives integrate and promote specific production and
management practices such as integrated cropland and livestock management, agro-forestry practices and
restoration of degraded lands. Some specific examples of land management practices and their potential
effects on the three objectives are included in Appendix 1.
81. On-the-ground initiatives aiming at synergies between the three pilars rarely achieve synergies
across all geographic locations. The consequences, and therefore the success of synergetic initiatives
depend, among other factors, on local conditions, therefore describing measures generically as synergetic
should be done with caution. Environmental, climate, water and soil conditions determine the effectiveness
of production systems and how they affect the triple objectives. For example, policies to stimulate no-till or
reduced till cropping can improve land productivity through increased soil moisture capture. Additionally,
soil conservation practices seem to have lower labour requirements (OECD, 2015g) and are therefore
likely to only have a positive impact on the three objectives in dry areas. Inversely, if policies target an
increase of cover crops, that could be beneficial as these crop store carbon in soils, they may in some cases
have negative effects on productivity, for instance, if the cover crops compete for water with cash crops in
water stressed areas. A whole range of technical, social, cultural and financial conditions could also
hamper or facilitate the effective development and adoption of adequate measures.
82. The success of on-the-ground initiatives also depends on the scale of implementation and
assessment. For instance, improved grassland management can sequester carbon and increase soil fertility
by increasing the share of leguminous crops, which has a positive impact on yields; however, if the
increased grassland productivity results in higher grazing intensity, greenhouse gas emissions from
livestock may well increase (Ghahramani and Moore, 2015). Therefore, while the potential for on-the-
COM/TAD/CA/ENV/EPOC(2015)42
29
ground synergies between the three objectives in agricultural systems should be recognised and in principle
stimulated, the generalisation of the adequacy of practices in a wider context should be done with care.
83. Looking at bottom-up approaches, however, might still be useful to inform policy design and
implementation. Policy makers should identify on the ground initiatives and assess the synergies or trade-
offs they involve, as well as the factor(s) that stimulate or impede the adoption of certain practices. Such an
exercise can inform policy design and implementation. Different on the ground initiatives promote the
uptake of different agricultural production methods and practices, which in turn involve different
interactions between productivity, adaptation and mitigation and at different levels (farm, landscape,
national, international). In certain cases, a (reverse) chain analysis - from identified initiatives and practices
to the ‘impulses’ that led to their adoption could contribute towards: increasing knowledge of what is
working and not working on the ground; tracing the causal link between on the on the ground performance
and policy intervention; directing and re-directing public investments in a more efficient manner; and
identifying areas for policy reform or further policy action. It is important to note here that the adoption of
practices may result from market impulses rather than from a policy impulse or a specific on the ground
initiative.
Box 10. Identifying and assessing on the ground initiatives
What are the examples of on the ground initiatives that aim at promoting synergies between the three objectives?
What is the explicit objective(s) of such initiatives?
Who is responsible for the funding, implementation, monitoring and evaluation these interventions? Is the public sector involved?
How are agricultural productivity, adaptation and mitigation measured within the on the ground initiative?
Considering the three objectives and locally specific conditions what visible or potential synergies and trade-offs do these initiatives and practices involve at different implementation levels (farm, landscape, national, international)?
Can on the ground performance (in terms of uptake and impacts of production and productivity measures) be traced- back to policy?
How could these initiatives and their impacts inform public policy design?
Are there any data collection, monitoring and evaluation efforts to identify best practices and lessons learned at a farm and landscape level? Is this knowledge informing and directing future policy design?
COM/TAD/CA/ENV/EPOC(2015)42
30
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COM/TAD/CA/ENV/EPOC(2015)42
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APPENDIX 1
IMPACTS OF A SELECTION OF LAND MANAGEMENT PRACTICES ON PRODUCTIVITY,
CLIMATE CHANGE MITIGATION AND ADAPTATION
Table 3 summarises the impacts of some land management practices on farm productivity, climate
adaptation, and GHG mitigation. Practices were sourced from Bryan et al. (2011) and should not be seen
as an exhaustive list of potential synergetic practices. The extent of the impacts on productivity, climate
adaptation and greenhouse gas mitigation will depend largely on local conditions. Effects are therefore
defined qualitatively rather than quantitatively.
COM/TAD/CA/ENV/EPOC(2015)42
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Table 3. Examples of land management practices, and their impacts on productivity, climate change adaptation, and greenhouse gas mitigation (Adapted from: Bryan et al., 2011)
Examples
management
practice
Productivity impacts Climate adaptation
benefits
Greenhouse gas
mitigation potential
Cropland management
Improved crop
varieties or types
(early-maturing,
drought resistant,
etc.)
Increased crop yield and
reduced yield variability
Increased resilience
against climate change,
particularly increases in
climate variability
(prolonged periods of
drought, seasonal shifts in
rainfall, and the like)
Improved varieties can
increase soil carbon
storage
Changing
planting dates
Reduced likelihood of
crop failure
Maintained production
under changing rainfall
patterns, such as changes
in the timing of rains or
erratic rainfall patterns
Unknown, although
higher yields are likely to
increase soil carbon
Improved
crop/fallow
rotation/rotation
with legumes
Increased soil fertility and
yields over the medium to
long term due to nitrogen
fixing in soils;
Short-term losses due to
reduced cropping intensity
Improved soil fertility and
water holding capacity
increases resilience to
climate change
High mitigation potential,
particularly crop rotation
with legumes
Use of cover crops Increased yields due to
erosion control and
reduced nutrient leaching;
Potential trade-off if cover
crops replace grazing area
in mixed crop–livestock
systems
Improved soil fertility and
water holding capacity
increases resilience to
climate change
High mitigation potential
through increased soil
carbon sequestration
Appropriate use
of fertilizer and
manure
Higher yields due to
appropriate use of
fertilizer/manure
Improved productivity
increases resilience to
climate change;
Potential greater yield
variability with frequent
droughts
High mitigation potential,
particularly where
fertilizer has been
underutilized, such as in
sub-Saharan Africa
Incorporation of
crop residues
Higher yields due to
improved soil fertility and
water retention in soils;
Trade-offs exist if crop
residues would have
otherwise been used as
animal feed
Improved soil fertility and
water-holding capacity
increases resilience to
climate change
High mitigation potential
through increased soil
carbon sequestration
COM/TAD/CA/ENV/EPOC(2015)42
37
Examples
management
practice
Productivity impacts Climate adaptation
benefits
Greenhouse gas
mitigation potential
Reduced or zero
tillage
Increased yields over the
long term due to greater
water-holding capacity of
soils; limited impacts in
the short term;
Potential trade-offs in
terms of weed
management and potential
waterlogging
Improved soil fertility and
water-holding capacity
increases resilience to
climate change
Some mitigation potential
through reduced soil
carbon losses
Agroforestry Uncertain impacts on
yields: Yields could
increase on adjacent
cropland due to improved
rainwater management
and reduced erosion;
Potential reduced yields if
smaller crops compete
with trees for light, water
and soil nutrients
Increased resilience to
climate change due to
improved soil conditions
and water management;
Benefits in terms of
livelihood diversification
High mitigation potential
through increased soil
carbon sequestration
Soil and water management
Irrigation and
water harvesting
Higher yields, greater
intensity of land use
Reduced production
variability and greater
climate resilience when
systems are well designed
and maintained
Low to high depending on
whether irrigation is
energy intensive or not
Bunds Higher yields due to
increased soil moisture;
Potentially lower yields
during periods of high
rainfall
Reduced yield variability
in dry areas; potential
increase in production loss
due to heavy rains if
bunds are constructed to
retain moisture
Positive mitigation
benefits minus soil carbon
losses due to construction
of bunds
Terraces Higher yields due to
increased soil moisture
and reduced erosion;
Potential to displace some
cropland
Reduced yield variability
under climate change due
to better soil quality and
rainwater management
Positive mitigation
benefits minus soil carbon
losses due to construction
of terraces
Mulching or trash
lines
Increased yields due to
greater water retention in
soils
Reduced yield variability
under drier conditions due
to greater moisture
retention
Positive mitigation
benefits
Grass strips Increased yields due to
reduced runoff and soil
erosion
Reduced variability due to
reduced soil and water
erosion
Positive mitigation
benefits
COM/TAD/CA/ENV/EPOC(2015)42
38
Examples
management
practice
Productivity impacts Climate adaptation
benefits
Greenhouse gas
mitigation potential
Ridge and furrow Increased yields due to
greater soil moisture
Reduced yield variability
in dry areas;
Possible production losses
with heavy rains
Positive mitigation
benefits minus initial
losses due to construction
of ridges and furrows
Diversion ditches Increased yields due to
drainage of agricultural
lands in areas where
flooding is problematic
Reduced yield variability
under heavy rainfall
conditions due to
improved water
management
Positive mitigation
benefits through improved
productivity and hence
increased soil carbon
Management of livestock or grazing land
Diversify, change,
or supplement
livestock feeds
Higher livestock yields
due to improved diets
Increased climate
resilience due to
diversified sources of feed
High mitigation potential
because improved feeding
practices can reduce
methane emissions
Destocking Potential increases per
unit of livestock;
Total production may
decline in the short term
Lower variability over the
long term, particularly
when forage availability is
a key factor in livestock
output
High mitigation potential
because reduced livestock
numbers lead to reduced
methane emissions
Rotational
grazing
Higher yields due to
greater forage availability
and quality;
Potential short-term trade-
off in terms of numbers of
livestock supported
Increased forage
availability over the long
term, providing greater
climate resilience
Positive mitigation
potential due to increased
carbon accrual on
optimally grazed lands
Improved breeds
and species
Increased productivity per
animal for the resources
available
Increased resilience of
improved species or
breeds to withstand
increasing climate
extremes
Varies, depending on the
breeds or species being
traded
Restoring degraded lands
Revegetation Improved yields over the
medium to long run;
improved yields on
adjacent cropland due to
reduced soil and water
erosion
Reduced variability due to
reduced soil and water
erosion
High mitigation potential
Applying nutrient
amendments
Improved yields over the
medium to long run
No known benefits for
adaptation
High mitigation potential
COM/TAD/CA/ENV/EPOC(2015)42
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APPENDIX 2
SUGGESTED INDICATORS
Drivers - Trends in agricultural productivity and climate change vulnerabilities and risks
Share of agriculture in the use of land and water.
Variability of incomes and yields as a result of climate change (modelling studies).
Presence and frequency of droughts, floods, water stress.
Productivity growth: Growth rates in yields, Labour and Total Factor Productivity (TFP) growth in primary agriculture.
OECD Agri-Environmental Indicators: Greenhouse gas emissions, change in nitrogen and phosphate balances, trends in fertilizer availability and use, change in pesticides sales, change in agricultural land use, total abstraction of water for agriculture (surface water and groundwater, agricultural water productivity or water stress ratio, change in water withdrawal, share of land with erosion risk. [http://www.oecd.org/tad/sustainableagriculture/agri-environmentalindicators.htm].
FAO Agri-Environmental Indicators: [http://faostat3.fao.org/faostatgateway/ go/to/download/E/*/E].
OECD Green Growth Indicators: [http://www.oecd-ilibrary.org/environment/data/oecd-environment-statistics/green-growth-indicators_data-00665-en?isPartOf=/content/datacollection/env-data-en].
EUROSTAT Greenhouse gas emissions by industries and households:[http://ec.europa.eu/eurostat/statisticsexplained/index.php/Greenhouse_gas_emissions_by_industries_and_households].
European Environment Agency: http://www.eea.europa.eu/themes/climate/indicators#c10=&c5=all&c7=all&c13=20&b_start=0
EU CAP Context Indicators: http://ec.europa.eu/agriculture/cap-indicators/context/2014/indicator-table_en.pdf
EU Rural Development Indicators : http://ec.europa.eu/agriculture/statistics/rural-development/2013/indicators_en.pdf
Part II of the framework - Institutions
Presence of national plans or political statements prioritizing the three objectives.
Lead institution(s) identified.
Roles and responsibilities of institutions mapped using tools such as Net-Map (IFPRI)http://www.ifpri.org/sites/default/files/publications/os09netmap.pdf
Ex-ante evaluation (of institutional coordination and coherence) report.
Presence of policy reviews focused on identification institutional barriers.
Coordination mechanisms established.
Stakeholders involved in national climate change assessments and policy consultation.
Identified funds: budget lines for the three objectives within and outside of the agricultural sector.
Part III of the framework – Policies
OECD Effective tax rates on energy use: [http://www.oecd.org/tax/tax-policy/taxingenergyuse.htm]
Inventory of estimated budgetary support and tax expenditures for fossil fuels 2013: [http://www.oecd.org/publications/inventory-of-estimated-budgetary-support-and-tax-expenditures-for-fossil-fuels-2013-9789264187610-en.htm]
OECD-Environmentally related taxes (share of GDP): [http://www.oecd-ilibrary.org/environment/data/oecd-environment-statistics/green-growth-indicators_data-00665-en?isPartOf=/content/datacollection/env-data-en]
No. and type of (agricultural) insurance instruments promoted and share of farmers with access to insurance.
Share of farmers adjusting production practices as a result of accessing financial services (if available).
Proportion of the total surface area insured by crop type
Government expenditures on agricultural related insurances
Presence and nature of regulations on natural resources and the use of fertilizers
Presence and nature of regulatory instruments on emissions such as e.g. carbon pricing, emissions trading
Investment in rural/agricultural infrastructure (standards related to future climate)
OECD and World Bank: indicators of availability of physical infrastructure: road density, railway density, container port traffic intensity.
COM/TAD/CA/ENV/EPOC(2015)42
40
WEF GCI: Indicator of quality of transport Infrastructure
Within the agricultural polices
OECD Producer Support Estimate (PSE) as a % of farm receipts including: Most distorting support; support with environmental constraints; environmentally harmful subsidies.
OECD Composition of total support to agriculture (TSE) as a % of GDP including: Most distorting support; support to innovation enhancing service; support to infrastructure services: [http://www.oecd.org/agriculture/agriculturalpolicies/producerandconsumersupportestimatesdatabase.htm].
OECD Fertilizers and biofuels support policies database: [http://www.oecd.org/tad/agricultural-policies/support-policies-fertilisers-biofuels.htm].
Trends in public and private expenditures on agriculture R&D in areas such as:
o Development of climate change and disaster risk reduction methodologies
o Tools to map multiple-risk and vulnerability (climate, pest, disease) scenarios at different spatial scales
o Measurement of GHG emissions within the agricultural sector/ measurement of reduction on emission levels
o Development and implementation of weather forecasting, hydrological monitoring and early warning systems linked to the agricultural sector
o Development of new technologies and investments (biotechnology, nanotechnology, IT, precision techniques, renewable energies, biogas, others) and assessment of their effectiveness in terms of productivity, adaptation and mitigation.
o Development of an inventory of available and appropriate technologies and options which involve synergies between productivity, mitigation and adaptation
o Development of assessments to identify the technology gap: the gap between the existing appropriate technology and technology/options adopted by farmers OECD data on R&D expenditures: [http://www.oecd.org/statistics/]; ASTI data: [http://www.asti.cgiar.org/data/].
R&D expenditure on climate change issues as per cent of agricultural expenditure on agricultural R&D. ASTI data: [http://www.asti.cgiar.org/data/].
Financial support to research centres that work on the agricultural sector and climate change.
Existence of national assessment of impacts and vulnerability in the agricultural sector.
No. of early warning systems in place.
PCT patent applications for agricultural-related innovations. OECD Science, Technology and Industry Outlook, OECD Database.
Number of studies and publications available on the database relating to agricultural climate change adaptation, mitigation or both.
Number of hits on web-based platform/ Share of farmers accessing information via SMS or other technologies.
Share of the labour force with higher education in agriculture.
Trends in enrolments and graduates in agriculture college programs.
OECD PSE/CSE database: Trends in public expenditures for the provision or access to extension services; [http://www.oecd.org/agriculture/agriculturalpolicies/producerandconsumersupportestimatesdatabase.htm]
(Public) funding of advisory services, training and extension initiatives aimed at supporting adaptation and mitigation in agriculture.
Share of farmers undertaking training courses and using extension and advisory services.
No. of training modules/materials published and disseminated.
No. of (people benefitting from) water, livestock and natural risk management projects or total capacity of crop storage facilities.
Share of foreign staff in national R&D; number of national R&D staff abroad.
Number of co-operation agreements; number of partners in cooperation agreements.
Climate Change: OECD DAC External Development Finance Statistics: [http://www.oecd.org/dac/stats/climate-change.htm]